CHATBOT AGENCY IN LONDON AND SURREY

We ask questions, lots and lots of questions, we ask about what data you have, what your personas are and what the ideal user journeys should be. We then we map intents, pick an AI model and test with real conversations using natural language processing and sentiment analysis tuned to your brand identity and if need to connect to your existing systems to ensure smooth data flow

No not at the moment, all it can really do right now is to take the repetitive load and menial tasks. We pair humans with generative ai for either human in the loop points or escalations, and train the bot with machine learning algorithms.

Yes, but only if they have been trained properly, we use natural language and machine learning to understand context. We place guardrails so that when its unsure it should say so rather than guessing.

No, you should never need to touch the code, we give you a dashboard where you can update intents, review user queries and bot responses and if necessary adjust the tone.  Our ai experts keep the frameworks up to date, handle regular security audits.

Data security is the hot topic right now with AI models and we use secure data storage with encryption at rest and in transit as well as secure data handling controls so only the right people / ai models can see it.

Yes, every chat session adds another layer of invaluable data that shows how people talk, what frustrates them and what they need to do.  We track that customer feedback through real time data and machine learning algorithms. Over time this should provide better customer engagement and a stronger user experience.

Yes, thats exactly what advanced chatbots should be able to do, conversations via text or voice can be in multiple languages and adjust for customer preferences.

This simple, it through integrations, with APIs, MCPs are talking directly to you existing tools data sources in real time. Once we are live your team should be able to see any valuable insights from user activity without jumping between platforms. 

Accuracy comes from how the model is trained, how we ingested your knowledge and the techniques we use in RAG, We use machine learning and human language in whats called re-enforcement learning to strengthen the responses. We find that this mix of logic, ai technology and feedback loops is what keeps the answers real.

Yes they can, but if you dont implement it correctly it can kill it too, You dont always need instant responses it’s about remembering your customers preferences and handle their complex queries. We design our bots to stay in brand and gather all the customer inquiries so what can feed this into overall quality reports to we can work on an improved customer satisfaction.

We keep everything current by retraining the model on new data and monitoring where the bot may have may have gone off the rails,  Our ai experts run regular reviews of logs, update prompts and patch dependencies. Sometimes we rebuild parts from scratch when the evolving landscape demands it. 

We’ve been in chatbot ai development for almost a decade and for some of the world’s largest brands. That experience makes the difference, we have seen what works, what doesn’t and what people actually use. When we design a bot the key driver is never the technology or the model its about the use case we are solving for the business.